Rapid, systematic updating of movement by accumulated decision evidence

Acting in the natural world requires not only deciding among multiple options but also converting decisions into motor commands. How the dynamics of decision formation influence the fine kinematics of response movement remains, however, poorly understood. Here we investigate how the accumulation of decision evidence shapes the response orienting trajectories in a task where freely-moving rats combine prior expectations and auditory information to select between two possible options. Response trajectories and their motor vigor are initially determined by the prior. Rats movements then incorporate sensory information in less than 100 ms after stimulus onset by accelerating or slowing depending on how much the stimulus supports their initial choice. When the stimulus evidence is in strong contradiction, rats change their mind and reverse their initial trajectory. Human subjects performing an equivalent task display a remarkably similar behavior. We encapsulate these results in a computational model that maps the decision variable onto the movement kinematics at discrete time points, capturing subjects' choices, trajectories and changes of mind. Our results show that motor responses are not ballistic. Instead, they are systematically and rapidly updated, as they smoothly unfold over time, by the parallel dynamics of the underlying decision process.

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Publication Details

Journal
Nature Communications
Published
2024-12-04
DOI
https://doi.org/10.1038/s41467-024-53586-7
Citations
6
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
2.06

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article

Rapid, systematic updating of movement by accumulated decision evidence

Debora Lombardo, Alexandre Hyafil, Manuel Molano‐Mazón, Lluís Hernández-Navarro et al.
6 citations
Nature Communications
Neural dynamics and brain function
2.06
article

Rapid, systematic updating of movement by accumulated decision evidence

Debora Lombardo, Alexandre Hyafil, Manuel Molano‐Mazón, Lluís Hernández-Navarro, Jaime de la Rocha, Jordi Pastor‐Ciurana, Lejla Bektic, Alexandre Garcia-Duran
article en
6 citations

Abstract

Acting in the natural world requires not only deciding among multiple options but also converting decisions into motor commands. How the dynamics of decision formation influence the fine kinematics of response movement remains, however, poorly understood. Here we investigate how the accumulation of decision evidence shapes the response orienting trajectories in a task where freely-moving rats combine prior expectations and auditory information to select between two possible options. Response trajectories and their motor vigor are initially determined by the prior. Rats movements then incorporate sensory information in less than 100 ms after stimulus onset by accelerating or slowing depending on how much the stimulus supports their initial choice. When the stimulus evidence is in strong contradiction, rats change their mind and reverse their initial trajectory. Human subjects performing an equivalent task display a remarkably similar behavior. We encapsulate these results in a computational model that maps the decision variable onto the movement kinematics at discrete time points, capturing subjects' choices, trajectories and changes of mind. Our results show that motor responses are not ballistic. Instead, they are systematically and rapidly updated, as they smoothly unfold over time, by the parallel dynamics of the underlying decision process.

Nature CommunicationsVol. 15(1)
Centre de Recerca Matemàtica (ES), Fundació Clínic per a la Recerca Biomèdica (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), Universitat Politècnica de Catalunya (ES)
University of Chicago, Centres de Recerca de Catalunya, European Commission, Generalitat de Catalunya, Ministerio de Economía y Competitividad, N. Bud Grossman Center for Memory Research and Care, European Regional Development Fund, Agencia Estatal de Investigación
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Neural dynamics and brain function
2.06
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